Essays about: "the Random Cluster Model"
Showing result 11 - 15 of 28 essays containing the words the Random Cluster Model.
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11. Imbalanced Learning and Feature Extraction in Fraud Detection with Applications
University essay from KTH/Numerisk analys, NAAbstract : This thesis deals with fraud detection in a real-world environment with datasets coming from Svenska Handelsbanken. The goal was to investigate how well machine learning can classify fraudulent transactions and how new additional features affected classification. READ MORE
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12. It’s a Match: Predicting Potential Buyers of Commercial Real Estate Using Machine Learning
University essay from Uppsala universitet/Institutionen för informatik och mediaAbstract : This thesis has explored the development and potential effects of an intelligent decision support system (IDSS) to predict potential buyers for commercial real estate property. The overarching need for an IDSS of this type has been identified exists due to information overload, which the IDSS aims to reduce. READ MORE
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13. Modelling approach and avoidance behaviour : A deep learning approach to understand the human olfactory system
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis we examine the question whether it is possible to model approach and avoidance behaviour with probabilistic machine learning. The results from this project will primarily aid in our collective understanding of human existence. READ MORE
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14. Modelling habitat suitability index for golden eagle
University essay from Stockholms universitet/Institutionen för naturgeografiAbstract : The aim in this study was to develop a model for the probability of finding active golden eagle nests during their breeding season. It was done by using environmental variables derived from expert models which were tested against empirical data. READ MORE
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15. Tick data clustering analysis establishing support and resistance levels of the EUR-USD exchange market
University essay from Lunds universitet/Matematisk statistikAbstract : Our aim is to use clustering algorithms in order to compute support and resistance levels within an intra-day trading setting. To achieve this we use a tick data set from the EUR-USD exchange market during 2019 as a measure of market activity. READ MORE